Extract Current Job Info from LinkedIn URLs Efficiently

Nathan P. · 2025-12-03T23:30:01.461Z

I'm running a find people search to pull everyone who has previously worked at a list of companies. The search returns their LinkedIn URL and their experience at that specific company, but not their current role or current employer. I need a way to extract their current job title, current company name, and current company URL from the LinkedIn URL without having to run a full enrichment on each person - without wasting credits

Extract Current Job Info from LinkedIn URLs Efficiently | Clay

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Use the "Enrich Person from Profile" action with your existing profile URLs. [1] This costs only 1 credit per person and returns current job title, company name, and company URL from the "Latest Experience" field. [2]
You can then reference specific endpoints from the enrichment results to pull the exact current role and company details you need without running full enrichments. [3]
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Nathan P.
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how would i do this outside of clay?? to save credits??? like use n8n and apify to scrape and then populate back into clay?
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Yes, you can use external scraping with n8n and Apify, then import the results back into Clay. [1]
Set up an Apify actor for LinkedIn profile scraping, configure it in n8n to process your URLs, then use our Apify integration to pull the scraped data back into Clay. [2] You'll still use Clay credits when importing via the Apify integration, but potentially fewer than full enrichments. [3]
However, the "Enrich Person from Profile" action at 1 credit per person is already quite cost-effective for this specific use case.
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Is that what you were looking for?
Nathan P.
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but i have 30,000 contacts - so it would be 30,000
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For 30,000 contacts, consider these alternatives:
External scraping approach: Use Apify + n8n to scrape profile data, then import back via our Apify integration. [1] You'll still use some credits for importing, but potentially fewer than 30,000.
Alternative enrichment providers: Try Bytemine or Wiza integrations - they can enrich from profile URLs and may have different credit costs. [2] [3]
Batch processing: Process smaller batches to spread credit usage over time if budget is the main concern.
The 1-credit "Enrich Person from Profile" is already our most cost-effective option for this specific use case, but external scraping could reduce total credit consumption.
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Is that what you were looking for?
Nathan P.
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would it be a lot cheaper than 30,000?
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External scraping with Apify + n8n would still require credits when importing data back into Clay through our Apify integration. [1] The exact savings depend on how much data you import versus the full enrichment cost.
However, you can use your own API keys with external tools completely free in Clay - no credits charged when you connect your own subscriptions. [2] This could eliminate the 30,000 credit cost entirely if you have your own scraping setup.
At ~1 cent per enrichment, 30,000 credits would cost around $300, which is already significantly cheaper than traditional providers like Zoominfo. [3]
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Nathan P.
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all i want is current title, current employer, and current employer website
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Use "Enrich Person from Profile" with your profile URLs - it returns exactly what you need: current job title, current employer, and current employer website. [1]
You can reference specific endpoints from the enrichment results to pull the current title, company name, and company URL from the "Latest Experience" field. [2]
At 1 credit per person, this is the most cost-effective option for getting current employment data from profile URLs.
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Nathan P.
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no, when only 1% of them might be icp

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